"Efficient and portable GEMM-based convolution operators for deep neural ..."

Sergio Barrachina et al. (2022)

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DOI: 10.1016/J.JPDC.2022.05.009

access: open

type: Journal Article

metadata version: 2023-08-28

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Sergio Barrachina, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí:
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors. J. Parallel Distributed Comput. 167: 240-254 (2022)

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